code: def arguments_optimizer(
      parser: argparse.ArgumentParser,
  ) -> argparse.ArgumentParser:
      parser = BaseOptim.add_arguments(parser)
      parser = OPTIM_REGISTRY.all_arguments(parser)
      return parser
  
file_path: ml-cvnets/optim/__init__.py
imports: import argparse
  from typing import Dict, List
  import torch.nn
  from optim.base_optim import BaseOptim
  from utils import logger
  from utils.common_utils import unwrap_model_fn
  from utils.registry import Registry
label_desc: Use image node_id 4 for calling a global function with example usage: arguments_optimizer(parser) and returns: parser